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Comparison of tree-based machine learning algorithms for predicting liquefaction potential using canonical correlation forest, rotation forest, and random forest based on CPT data

Author(s):

Medium: journal article
Language(s): English
Published in: Soil Dynamics and Earthquake Engineering, , v. 154
Page(s): 107130
DOI: 10.1016/j.soildyn.2021.107130
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1016/j.soildyn.2021.107130.
  • About this
    data sheet
  • Reference-ID
    10648302
  • Published on:
    06/01/2022
  • Last updated on:
    06/01/2022
 
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